Datasets:

laolao77
/

ViRFT_LVIS_few_shot

Modalities:

Image

Text

Formats:

Size:

Libraries:

License:

Dataset card Data Studio Files Files and versions Community

Dataset Viewer

Auto-converted to Parquet

Split (1)

train · 65 rows

image imagewidth (px) 333 640	problem stringclasses 8 values	solution stringlengths 67 3.2k
	Detect all objects belonging to the category 'papaya' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'papaya' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [45, 799, 387, 998], 'Confidence': 1}, {'Position': [23, 470, 261, 623], 'Confidence': 1}, {'Position': [351, 458, 533, 564], 'Confidence': 1}, {'Position': [197, 475, 301, 546], 'Confidence': 1}, {'Position': [639, 720, 755, 777], 'Confidence': 1}, {'Position': [0, 570, 160, 737], 'Confidence': 1}, {'Position': [404, 603, 534, 696], 'Confidence': 1}, {'Position': [419, 839, 726, 999], 'Confidence': 1}, {'Position': [282, 691, 488, 788], 'Confidence': 1}, {'Position': [745, 662, 989, 827], 'Confidence': 1}, {'Position': [499, 621, 702, 758], 'Confidence': 1}, {'Position': [749, 810, 998, 965], 'Confidence': 1}, {'Position': [367, 695, 606, 846], 'Confidence': 1}, {'Position': [717, 944, 999, 999], 'Confidence': 1}, {'Position': [132, 754, 395, 873], 'Confidence': 1}, {'Position': [244, 524, 438, 692], 'Confidence': 1}, {'Position': [258, 432, 403, 528], 'Confidence': 1}, {'Position': [135, 597, 371, 754], 'Confidence': 1}, {'Position': [560, 758, 806, 927], 'Confidence': 1}, {'Position': [0, 709, 138, 915], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'stepladder' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'stepladder' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [825, 350, 999, 675], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'die' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'die' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [358, 726, 375, 743], 'Confidence': 1}, {'Position': [355, 781, 375, 796], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'kitchen_table' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'kitchen_table' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [540, 612, 999, 999], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'die' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'die' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [84, 0, 219, 218], 'Confidence': 1}, {'Position': [20, 186, 176, 417], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'legume' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'legume' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [349, 831, 394, 868], 'Confidence': 1}, {'Position': [171, 740, 192, 768], 'Confidence': 1}, {'Position': [108, 585, 148, 618], 'Confidence': 1}, {'Position': [455, 363, 498, 406], 'Confidence': 1}, {'Position': [205, 471, 214, 496], 'Confidence': 1}, {'Position': [222, 860, 262, 921], 'Confidence': 1}, {'Position': [174, 700, 205, 739], 'Confidence': 1}, {'Position': [135, 674, 188, 712], 'Confidence': 1}, {'Position': [214, 404, 229, 430], 'Confidence': 1}, {'Position': [495, 743, 530, 810], 'Confidence': 1}, {'Position': [164, 620, 192, 645], 'Confidence': 1}, {'Position': [310, 779, 342, 840], 'Confidence': 1}, {'Position': [191, 499, 214, 522], 'Confidence': 1}, {'Position': [417, 361, 457, 387], 'Confidence': 1}, {'Position': [381, 865, 430, 902], 'Confidence': 1}, {'Position': [198, 426, 226, 451], 'Confidence': 1}, {'Position': [499, 343, 537, 385], 'Confidence': 1}, {'Position': [329, 806, 362, 859], 'Confidence': 1}, {'Position': [102, 672, 141, 705], 'Confidence': 1}, {'Position': [174, 461, 194, 485], 'Confidence': 1}, {'Position': [371, 898, 423, 940], 'Confidence': 1}, {'Position': [268, 358, 327, 401], 'Confidence': 1}, {'Position': [234, 773, 258, 797], 'Confidence': 1}, {'Position': [190, 670, 232, 697], 'Confidence': 1}, {'Position': [92, 618, 125, 657], 'Confidence': 1}, {'Position': [350, 858, 382, 925], 'Confidence': 1}, {'Position': [173, 544, 204, 568], 'Confidence': 1}, {'Position': [458, 341, 508, 373], 'Confidence': 1}, {'Position': [210, 565, 238, 588], 'Confidence': 1}, {'Position': [304, 833, 336, 877], 'Confidence': 1}, {'Position': [241, 806, 277, 859], 'Confidence': 1}, {'Position': [191, 639, 222, 663], 'Confidence': 1}, {'Position': [182, 485, 199, 507], 'Confidence': 1}, {'Position': [130, 706, 174, 738], 'Confidence': 1}, {'Position': [148, 559, 176, 578], 'Confidence': 1}, {'Position': [162, 768, 200, 809], 'Confidence': 1}, {'Position': [484, 721, 505, 756], 'Confidence': 1}, {'Position': [134, 730, 171, 773], 'Confidence': 1}, {'Position': [203, 790, 249, 839], 'Confidence': 1}, {'Position': [124, 613, 157, 659], 'Confidence': 1}, {'Position': [124, 545, 155, 573], 'Confidence': 1}, {'Position': [213, 616, 231, 639], 'Confidence': 1}, {'Position': [153, 473, 178, 512], 'Confidence': 1}, {'Position': [154, 536, 186, 568], 'Confidence': 1}, {'Position': [174, 567, 200, 592], 'Confidence': 1}, {'Position': [274, 401, 325, 446], 'Confidence': 1}, {'Position': [318, 866, 351, 915], 'Confidence': 1}, {'Position': [222, 689, 237, 705], 'Confidence': 1}, {'Position': [145, 595, 165, 618], 'Confidence': 1}, {'Position': [89, 649, 116, 682], 'Confidence': 1}, {'Position': [514, 355, 560, 402], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'horse_buggy' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'horse_buggy' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [455, 653, 507, 687], 'Confidence': 1}, {'Position': [256, 655, 308, 759], 'Confidence': 1}, {'Position': [337, 676, 429, 835], 'Confidence': 1}, {'Position': [384, 653, 425, 674], 'Confidence': 1}, {'Position': [540, 676, 584, 758], 'Confidence': 1}, {'Position': [419, 687, 520, 877], 'Confidence': 1}, {'Position': [328, 665, 398, 709], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'kitchen_table' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'kitchen_table' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [0, 355, 986, 989], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'omelet' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'omelet' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [341, 319, 894, 799], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'legume' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'legume' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [793, 241, 812, 258], 'Confidence': 1}, {'Position': [911, 356, 931, 382], 'Confidence': 1}, {'Position': [634, 297, 654, 319], 'Confidence': 1}, {'Position': [901, 411, 914, 421], 'Confidence': 1}, {'Position': [806, 266, 825, 284], 'Confidence': 1}, {'Position': [676, 249, 695, 272], 'Confidence': 1}, {'Position': [831, 258, 844, 271], 'Confidence': 1}, {'Position': [734, 247, 752, 268], 'Confidence': 1}, {'Position': [748, 224, 769, 240], 'Confidence': 1}, {'Position': [829, 302, 844, 325], 'Confidence': 1}, {'Position': [787, 287, 797, 302], 'Confidence': 1}, {'Position': [759, 360, 771, 378], 'Confidence': 1}, {'Position': [860, 333, 889, 366], 'Confidence': 1}, {'Position': [748, 311, 762, 339], 'Confidence': 1}, {'Position': [766, 309, 791, 334], 'Confidence': 1}, {'Position': [665, 281, 690, 310], 'Confidence': 1}, {'Position': [927, 382, 950, 418], 'Confidence': 1}, {'Position': [744, 395, 757, 415], 'Confidence': 1}, {'Position': [767, 272, 784, 294], 'Confidence': 1}, {'Position': [814, 318, 829, 337], 'Confidence': 1}, {'Position': [676, 315, 712, 360], 'Confidence': 1}, {'Position': [868, 314, 886, 335], 'Confidence': 1}, {'Position': [822, 283, 834, 298], 'Confidence': 1}, {'Position': [843, 317, 861, 335], 'Confidence': 1}, {'Position': [846, 388, 870, 411], 'Confidence': 1}, {'Position': [709, 270, 724, 293], 'Confidence': 1}, {'Position': [821, 378, 834, 392], 'Confidence': 1}, {'Position': [855, 271, 872, 284], 'Confidence': 1}, {'Position': [703, 215, 711, 228], 'Confidence': 1}, {'Position': [710, 320, 727, 334], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'die' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'die' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [477, 712, 596, 877], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'die' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'die' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [716, 673, 746, 696], 'Confidence': 1}, {'Position': [748, 671, 778, 693], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'kitchen_table' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'kitchen_table' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [0, 0, 1000, 983], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'omelet' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'omelet' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [272, 395, 999, 791], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'horse_buggy' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'horse_buggy' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [32, 257, 608, 849], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'papaya' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'papaya' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [361, 352, 397, 376], 'Confidence': 1}, {'Position': [423, 354, 459, 374], 'Confidence': 1}, {'Position': [255, 323, 270, 335], 'Confidence': 1}, {'Position': [363, 363, 403, 402], 'Confidence': 1}, {'Position': [392, 348, 427, 367], 'Confidence': 1}, {'Position': [467, 150, 509, 184], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'legume' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'legume' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [571, 235, 607, 287], 'Confidence': 1}, {'Position': [552, 204, 613, 259], 'Confidence': 1}, {'Position': [507, 482, 564, 536], 'Confidence': 1}, {'Position': [621, 436, 677, 518], 'Confidence': 1}, {'Position': [455, 463, 490, 497], 'Confidence': 1}, {'Position': [682, 209, 731, 250], 'Confidence': 1}, {'Position': [439, 346, 476, 392], 'Confidence': 1}, {'Position': [428, 250, 474, 321], 'Confidence': 1}, {'Position': [371, 358, 407, 401], 'Confidence': 1}, {'Position': [680, 261, 734, 301], 'Confidence': 1}, {'Position': [536, 407, 598, 455], 'Confidence': 1}, {'Position': [684, 292, 724, 325], 'Confidence': 1}, {'Position': [530, 235, 568, 278], 'Confidence': 1}, {'Position': [522, 293, 563, 345], 'Confidence': 1}, {'Position': [455, 276, 486, 341], 'Confidence': 1}, {'Position': [690, 196, 735, 221], 'Confidence': 1}, {'Position': [453, 386, 492, 405], 'Confidence': 1}, {'Position': [495, 334, 556, 398], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'papaya' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'papaya' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [496, 473, 542, 504], 'Confidence': 1}, {'Position': [667, 455, 706, 508], 'Confidence': 1}, {'Position': [457, 624, 526, 722], 'Confidence': 1}, {'Position': [755, 434, 796, 485], 'Confidence': 1}, {'Position': [615, 510, 658, 548], 'Confidence': 1}, {'Position': [446, 481, 496, 542], 'Confidence': 1}, {'Position': [932, 559, 978, 628], 'Confidence': 1}, {'Position': [316, 544, 348, 587], 'Confidence': 1}, {'Position': [289, 515, 330, 547], 'Confidence': 1}, {'Position': [347, 489, 400, 564], 'Confidence': 1}, {'Position': [596, 501, 623, 526], 'Confidence': 1}, {'Position': [867, 508, 917, 586], 'Confidence': 1}, {'Position': [760, 575, 786, 591], 'Confidence': 1}, {'Position': [422, 635, 466, 687], 'Confidence': 1}, {'Position': [477, 559, 534, 638], 'Confidence': 1}, {'Position': [790, 602, 852, 664], 'Confidence': 1}, {'Position': [379, 468, 421, 501], 'Confidence': 1}, {'Position': [450, 713, 511, 764], 'Confidence': 1}, {'Position': [507, 681, 571, 756], 'Confidence': 1}, {'Position': [797, 469, 833, 521], 'Confidence': 1}, {'Position': [294, 483, 337, 522], 'Confidence': 1}, {'Position': [590, 605, 635, 663], 'Confidence': 1}, {'Position': [411, 659, 464, 745], 'Confidence': 1}, {'Position': [446, 537, 499, 589], 'Confidence': 1}, {'Position': [607, 556, 689, 591], 'Confidence': 1}, {'Position': [914, 527, 947, 581], 'Confidence': 1}, {'Position': [524, 605, 595, 698], 'Confidence': 1}, {'Position': [736, 625, 793, 696], 'Confidence': 1}, {'Position': [825, 558, 863, 602], 'Confidence': 1}, {'Position': [732, 483, 777, 530], 'Confidence': 1}, {'Position': [420, 474, 461, 508], 'Confidence': 1}, {'Position': [783, 553, 833, 614], 'Confidence': 1}, {'Position': [269, 490, 313, 520], 'Confidence': 1}, {'Position': [520, 488, 591, 541], 'Confidence': 1}, {'Position': [866, 587, 912, 648], 'Confidence': 1}, {'Position': [768, 475, 807, 526], 'Confidence': 1}, {'Position': [576, 651, 643, 729], 'Confidence': 1}, {'Position': [855, 515, 877, 563], 'Confidence': 1}, {'Position': [894, 574, 944, 643], 'Confidence': 1}, {'Position': [747, 586, 805, 648], 'Confidence': 1}, {'Position': [678, 517, 730, 576], 'Confidence': 1}, {'Position': [541, 467, 590, 495], 'Confidence': 1}, {'Position': [623, 425, 657, 460], 'Confidence': 1}, {'Position': [448, 462, 489, 495], 'Confidence': 1}, {'Position': [633, 630, 697, 720], 'Confidence': 1}, {'Position': [647, 602, 703, 660], 'Confidence': 1}, {'Position': [488, 446, 534, 501], 'Confidence': 1}, {'Position': [339, 481, 378, 502], 'Confidence': 1}, {'Position': [590, 467, 633, 517], 'Confidence': 1}, {'Position': [704, 508, 738, 529], 'Confidence': 1}, {'Position': [858, 562, 887, 598], 'Confidence': 1}, {'Position': [534, 582, 602, 624], 'Confidence': 1}, {'Position': [582, 439, 617, 476], 'Confidence': 1}, {'Position': [468, 609, 524, 648], 'Confidence': 1}, {'Position': [629, 459, 669, 516], 'Confidence': 1}, {'Position': [335, 545, 388, 607], 'Confidence': 1}, {'Position': [557, 448, 592, 478], 'Confidence': 1}, {'Position': [699, 444, 739, 502], 'Confidence': 1}, {'Position': [841, 598, 881, 659], 'Confidence': 1}, {'Position': [692, 650, 746, 702], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'horse_buggy' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'horse_buggy' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [504, 329, 999, 899], 'Confidence': 1}, {'Position': [0, 341, 323, 807], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'die' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'die' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [629, 200, 666, 253], 'Confidence': 1}, {'Position': [616, 230, 652, 295], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'horse_buggy' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'horse_buggy' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [61, 113, 627, 708], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'kitchen_table' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'kitchen_table' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [263, 487, 466, 542], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'egg_roll' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'egg_roll' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [657, 285, 994, 623], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'egg_roll' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'egg_roll' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [205, 580, 440, 970], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'egg_roll' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'egg_roll' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [607, 623, 839, 998], 'Confidence': 1}, {'Position': [419, 562, 633, 969], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'omelet' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'omelet' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [322, 419, 683, 903], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'omelet' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'omelet' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [285, 516, 681, 894], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'die' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'die' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [33, 767, 57, 800], 'Confidence': 1}, {'Position': [55, 745, 81, 776], 'Confidence': 1}, {'Position': [36, 744, 57, 767], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'egg_roll' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'egg_roll' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [101, 558, 287, 678], 'Confidence': 1}, {'Position': [353, 147, 493, 300], 'Confidence': 1}, {'Position': [186, 632, 442, 791], 'Confidence': 1}, {'Position': [643, 654, 836, 801], 'Confidence': 1}, {'Position': [129, 430, 311, 593], 'Confidence': 1}, {'Position': [337, 687, 707, 819], 'Confidence': 1}, {'Position': [209, 134, 360, 333], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'kitchen_table' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'kitchen_table' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [243, 546, 999, 816], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'kitchen_table' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'kitchen_table' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [0, 602, 396, 999], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'papaya' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'papaya' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [145, 603, 229, 695], 'Confidence': 1}, {'Position': [228, 645, 307, 745], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'stepladder' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'stepladder' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [493, 690, 532, 808], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'papaya' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'papaya' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [368, 827, 410, 867], 'Confidence': 1}, {'Position': [63, 391, 94, 432], 'Confidence': 1}, {'Position': [80, 437, 113, 471], 'Confidence': 1}, {'Position': [317, 807, 353, 865], 'Confidence': 1}, {'Position': [46, 413, 77, 450], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'kitchen_table' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'kitchen_table' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [197, 392, 991, 998], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'papaya' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'papaya' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [804, 889, 860, 960], 'Confidence': 1}, {'Position': [671, 442, 695, 478], 'Confidence': 1}, {'Position': [641, 360, 671, 430], 'Confidence': 1}, {'Position': [781, 445, 837, 518], 'Confidence': 1}, {'Position': [921, 507, 994, 604], 'Confidence': 1}, {'Position': [766, 868, 818, 941], 'Confidence': 1}, {'Position': [808, 482, 860, 543], 'Confidence': 1}, {'Position': [855, 524, 931, 625], 'Confidence': 1}, {'Position': [827, 832, 882, 902], 'Confidence': 1}, {'Position': [815, 771, 868, 840], 'Confidence': 1}, {'Position': [823, 572, 866, 671], 'Confidence': 1}, {'Position': [787, 373, 845, 446], 'Confidence': 1}, {'Position': [826, 413, 884, 490], 'Confidence': 1}, {'Position': [780, 812, 831, 872], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'horse_buggy' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'horse_buggy' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [300, 145, 982, 847], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'stepladder' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'stepladder' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [820, 671, 948, 938], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'kitchen_table' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'kitchen_table' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [0, 708, 855, 999], 'Confidence': 1}, {'Position': [60, 450, 542, 877], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'stepladder' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'stepladder' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [113, 0, 836, 1000], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'legume' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'legume' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [549, 399, 573, 416], 'Confidence': 1}, {'Position': [530, 405, 547, 419], 'Confidence': 1}, {'Position': [630, 465, 650, 480], 'Confidence': 1}, {'Position': [656, 477, 695, 490], 'Confidence': 1}, {'Position': [590, 422, 622, 448], 'Confidence': 1}, {'Position': [651, 460, 679, 487], 'Confidence': 1}, {'Position': [547, 413, 578, 437], 'Confidence': 1}, {'Position': [579, 439, 602, 455], 'Confidence': 1}, {'Position': [516, 464, 525, 486], 'Confidence': 1}, {'Position': [505, 396, 527, 422], 'Confidence': 1}, {'Position': [627, 473, 652, 487], 'Confidence': 1}, {'Position': [484, 419, 500, 440], 'Confidence': 1}, {'Position': [532, 419, 556, 446], 'Confidence': 1}, {'Position': [594, 455, 607, 463], 'Confidence': 1}, {'Position': [621, 432, 660, 470], 'Confidence': 1}, {'Position': [615, 465, 630, 477], 'Confidence': 1}, {'Position': [601, 446, 636, 469], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'legume' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'legume' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [598, 777, 688, 868], 'Confidence': 1}, {'Position': [460, 822, 537, 917], 'Confidence': 1}, {'Position': [582, 686, 656, 751], 'Confidence': 1}, {'Position': [430, 600, 515, 710], 'Confidence': 1}, {'Position': [373, 778, 457, 896], 'Confidence': 1}, {'Position': [474, 778, 580, 861], 'Confidence': 1}, {'Position': [422, 706, 496, 815], 'Confidence': 1}, {'Position': [469, 547, 522, 589], 'Confidence': 1}, {'Position': [535, 840, 628, 932], 'Confidence': 1}, {'Position': [408, 562, 453, 629], 'Confidence': 1}, {'Position': [523, 558, 609, 614], 'Confidence': 1}, {'Position': [390, 675, 443, 772], 'Confidence': 1}, {'Position': [505, 613, 590, 713], 'Confidence': 1}, {'Position': [570, 739, 649, 805], 'Confidence': 1}, {'Position': [412, 481, 495, 566], 'Confidence': 1}, {'Position': [405, 824, 487, 940], 'Confidence': 1}, {'Position': [418, 574, 489, 655], 'Confidence': 1}, {'Position': [550, 600, 599, 692], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'egg_roll' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'egg_roll' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [31, 233, 289, 560], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'papaya' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'papaya' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [157, 210, 333, 298], 'Confidence': 1}, {'Position': [0, 227, 138, 321], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'egg_roll' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'egg_roll' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [129, 48, 562, 428], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'horse_buggy' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'horse_buggy' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [423, 445, 581, 715], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'papaya' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'papaya' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [404, 545, 446, 600], 'Confidence': 1}, {'Position': [414, 690, 451, 744], 'Confidence': 1}, {'Position': [286, 658, 329, 704], 'Confidence': 1}, {'Position': [280, 439, 302, 493], 'Confidence': 1}, {'Position': [428, 591, 465, 646], 'Confidence': 1}, {'Position': [353, 657, 409, 713], 'Confidence': 1}, {'Position': [361, 708, 407, 754], 'Confidence': 1}, {'Position': [450, 684, 482, 715], 'Confidence': 1}, {'Position': [474, 630, 527, 727], 'Confidence': 1}, {'Position': [520, 625, 573, 737], 'Confidence': 1}, {'Position': [382, 559, 424, 607], 'Confidence': 1}, {'Position': [341, 563, 389, 629], 'Confidence': 1}, {'Position': [329, 656, 360, 688], 'Confidence': 1}, {'Position': [322, 522, 364, 572], 'Confidence': 1}, {'Position': [400, 699, 432, 749], 'Confidence': 1}, {'Position': [445, 641, 465, 682], 'Confidence': 1}, {'Position': [396, 646, 431, 689], 'Confidence': 1}, {'Position': [514, 699, 584, 819], 'Confidence': 1}, {'Position': [312, 615, 353, 672], 'Confidence': 1}, {'Position': [451, 711, 498, 807], 'Confidence': 1}, {'Position': [418, 639, 454, 688], 'Confidence': 1}, {'Position': [272, 696, 313, 750], 'Confidence': 1}, {'Position': [323, 566, 357, 616], 'Confidence': 1}, {'Position': [305, 497, 328, 537], 'Confidence': 1}, {'Position': [427, 684, 460, 735], 'Confidence': 1}, {'Position': [294, 594, 337, 645], 'Confidence': 1}, {'Position': [448, 687, 470, 726], 'Confidence': 1}, {'Position': [281, 495, 308, 553], 'Confidence': 1}, {'Position': [310, 684, 364, 751], 'Confidence': 1}, {'Position': [343, 618, 405, 666], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'kitchen_table' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'kitchen_table' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [539, 562, 839, 988], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'legume' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'legume' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [623, 622, 656, 661], 'Confidence': 1}, {'Position': [681, 617, 725, 683], 'Confidence': 1}, {'Position': [839, 613, 875, 663], 'Confidence': 1}, {'Position': [577, 800, 613, 866], 'Confidence': 1}, {'Position': [842, 735, 865, 801], 'Confidence': 1}, {'Position': [704, 472, 741, 534], 'Confidence': 1}, {'Position': [616, 782, 657, 822], 'Confidence': 1}, {'Position': [607, 815, 648, 883], 'Confidence': 1}, {'Position': [719, 883, 753, 901], 'Confidence': 1}, {'Position': [720, 655, 767, 715], 'Confidence': 1}, {'Position': [545, 631, 567, 690], 'Confidence': 1}, {'Position': [659, 852, 708, 899], 'Confidence': 1}, {'Position': [564, 630, 584, 693], 'Confidence': 1}, {'Position': [689, 581, 707, 620], 'Confidence': 1}, {'Position': [694, 540, 730, 610], 'Confidence': 1}, {'Position': [671, 448, 721, 498], 'Confidence': 1}, {'Position': [651, 606, 685, 667], 'Confidence': 1}, {'Position': [713, 712, 749, 742], 'Confidence': 1}, {'Position': [793, 648, 824, 712], 'Confidence': 1}, {'Position': [553, 791, 585, 833], 'Confidence': 1}, {'Position': [760, 627, 796, 694], 'Confidence': 1}, {'Position': [571, 619, 591, 651], 'Confidence': 1}, {'Position': [564, 710, 601, 766], 'Confidence': 1}, {'Position': [773, 512, 805, 558], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'die' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'die' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [173, 595, 230, 660], 'Confidence': 1}, {'Position': [243, 535, 325, 645], 'Confidence': 1}, {'Position': [324, 662, 357, 718], 'Confidence': 1}, {'Position': [194, 638, 247, 714], 'Confidence': 1}, {'Position': [259, 695, 317, 776], 'Confidence': 1}, {'Position': [318, 591, 367, 656], 'Confidence': 1}, {'Position': [304, 502, 341, 570], 'Confidence': 1}, {'Position': [255, 645, 305, 712], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'horse_buggy' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'horse_buggy' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [448, 539, 628, 800], 'Confidence': 1}, {'Position': [0, 687, 624, 998], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'legume' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'legume' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [437, 241, 481, 265], 'Confidence': 1}, {'Position': [372, 276, 408, 306], 'Confidence': 1}, {'Position': [295, 415, 327, 447], 'Confidence': 1}, {'Position': [265, 461, 288, 505], 'Confidence': 1}, {'Position': [434, 651, 489, 698], 'Confidence': 1}, {'Position': [264, 428, 300, 466], 'Confidence': 1}, {'Position': [213, 633, 252, 659], 'Confidence': 1}, {'Position': [232, 500, 257, 518], 'Confidence': 1}, {'Position': [269, 701, 327, 757], 'Confidence': 1}, {'Position': [679, 480, 717, 515], 'Confidence': 1}, {'Position': [257, 607, 279, 640], 'Confidence': 1}, {'Position': [618, 524, 663, 552], 'Confidence': 1}, {'Position': [394, 391, 447, 418], 'Confidence': 1}, {'Position': [314, 374, 362, 422], 'Confidence': 1}, {'Position': [363, 382, 392, 420], 'Confidence': 1}, {'Position': [524, 255, 558, 278], 'Confidence': 1}, {'Position': [370, 515, 406, 544], 'Confidence': 1}, {'Position': [453, 467, 509, 505], 'Confidence': 1}, {'Position': [310, 555, 340, 628], 'Confidence': 1}, {'Position': [518, 348, 556, 383], 'Confidence': 1}, {'Position': [416, 499, 445, 533], 'Confidence': 1}, {'Position': [438, 408, 467, 432], 'Confidence': 1}, {'Position': [624, 247, 651, 284], 'Confidence': 1}, {'Position': [500, 484, 555, 547], 'Confidence': 1}, {'Position': [359, 471, 399, 510], 'Confidence': 1}, {'Position': [282, 597, 303, 624], 'Confidence': 1}, {'Position': [288, 539, 326, 576], 'Confidence': 1}, {'Position': [626, 415, 656, 442], 'Confidence': 1}, {'Position': [426, 433, 456, 461], 'Confidence': 1}, {'Position': [476, 250, 519, 290], 'Confidence': 1}, {'Position': [686, 440, 712, 466], 'Confidence': 1}, {'Position': [648, 507, 681, 542], 'Confidence': 1}, {'Position': [475, 411, 514, 439], 'Confidence': 1}, {'Position': [738, 475, 780, 514], 'Confidence': 1}, {'Position': [241, 444, 270, 474], 'Confidence': 1}, {'Position': [189, 536, 219, 576], 'Confidence': 1}, {'Position': [542, 527, 589, 581], 'Confidence': 1}, {'Position': [727, 560, 770, 620], 'Confidence': 1}, {'Position': [397, 296, 426, 324], 'Confidence': 1}, {'Position': [588, 264, 622, 294], 'Confidence': 1}, {'Position': [294, 642, 334, 668], 'Confidence': 1}, {'Position': [467, 346, 492, 365], 'Confidence': 1}, {'Position': [640, 445, 672, 464], 'Confidence': 1}, {'Position': [454, 306, 486, 341], 'Confidence': 1}, {'Position': [459, 551, 481, 570], 'Confidence': 1}, {'Position': [479, 285, 512, 318], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'legume' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'legume' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [476, 210, 510, 258], 'Confidence': 1}, {'Position': [468, 247, 498, 295], 'Confidence': 1}, {'Position': [616, 250, 640, 282], 'Confidence': 1}, {'Position': [598, 211, 615, 248], 'Confidence': 1}, {'Position': [534, 158, 563, 200], 'Confidence': 1}, {'Position': [537, 133, 574, 158], 'Confidence': 1}, {'Position': [574, 272, 590, 303], 'Confidence': 1}, {'Position': [569, 184, 594, 204], 'Confidence': 1}, {'Position': [596, 183, 618, 210], 'Confidence': 1}, {'Position': [634, 161, 663, 196], 'Confidence': 1}, {'Position': [497, 167, 525, 214], 'Confidence': 1}, {'Position': [530, 251, 545, 272], 'Confidence': 1}, {'Position': [501, 118, 533, 156], 'Confidence': 1}, {'Position': [554, 149, 578, 183], 'Confidence': 1}, {'Position': [559, 232, 583, 248], 'Confidence': 1}, {'Position': [481, 278, 511, 316], 'Confidence': 1}, {'Position': [518, 184, 541, 220], 'Confidence': 1}, {'Position': [656, 220, 687, 249], 'Confidence': 1}, {'Position': [588, 206, 602, 239], 'Confidence': 1}, {'Position': [641, 250, 677, 289], 'Confidence': 1}, {'Position': [542, 198, 560, 238], 'Confidence': 1}, {'Position': [455, 220, 483, 259], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'omelet' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'omelet' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [331, 157, 437, 339], 'Confidence': 1}, {'Position': [733, 197, 980, 308], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'horse_buggy' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'horse_buggy' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [539, 10, 835, 281], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'kitchen_table' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'kitchen_table' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [0, 557, 438, 999], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'papaya' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'papaya' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [604, 247, 634, 320], 'Confidence': 1}, {'Position': [691, 239, 723, 310], 'Confidence': 1}, {'Position': [498, 235, 527, 308], 'Confidence': 1}, {'Position': [359, 245, 390, 304], 'Confidence': 1}, {'Position': [655, 252, 688, 314], 'Confidence': 1}, {'Position': [520, 522, 553, 579], 'Confidence': 1}, {'Position': [777, 238, 809, 306], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'legume' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'legume' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [376, 843, 447, 999], 'Confidence': 1}, {'Position': [0, 909, 129, 999], 'Confidence': 1}, {'Position': [228, 808, 350, 984], 'Confidence': 1}, {'Position': [315, 790, 404, 957], 'Confidence': 1}, {'Position': [230, 784, 323, 871], 'Confidence': 1}, {'Position': [153, 952, 272, 999], 'Confidence': 1}, {'Position': [97, 852, 232, 970], 'Confidence': 1}, {'Position': [222, 801, 248, 832], 'Confidence': 1}, {'Position': [156, 757, 241, 920], 'Confidence': 1}, {'Position': [0, 794, 60, 948], 'Confidence': 1}, {'Position': [80, 750, 158, 907], 'Confidence': 1}, {'Position': [390, 791, 501, 910], 'Confidence': 1}, {'Position': [20, 762, 88, 818], 'Confidence': 1}, {'Position': [433, 958, 528, 999], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'die' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'die' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [780, 386, 805, 421], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'omelet' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'omelet' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [291, 554, 940, 961], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'horse_buggy' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'horse_buggy' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [116, 451, 503, 827], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'papaya' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'papaya' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [8, 537, 76, 635], 'Confidence': 1}, {'Position': [244, 553, 307, 665], 'Confidence': 1}, {'Position': [14, 585, 88, 757], 'Confidence': 1}, {'Position': [101, 372, 164, 546], 'Confidence': 1}, {'Position': [275, 412, 343, 576], 'Confidence': 1}, {'Position': [141, 404, 211, 561], 'Confidence': 1}, {'Position': [320, 495, 365, 556], 'Confidence': 1}, {'Position': [103, 473, 132, 526], 'Confidence': 1}, {'Position': [163, 630, 281, 814], 'Confidence': 1}, {'Position': [203, 399, 261, 523], 'Confidence': 1}, {'Position': [46, 512, 78, 568], 'Confidence': 1}, {'Position': [52, 452, 105, 523], 'Confidence': 1}, {'Position': [144, 546, 218, 696], 'Confidence': 1}, {'Position': [78, 601, 148, 761], 'Confidence': 1}, {'Position': [240, 471, 277, 563], 'Confidence': 1}, {'Position': [267, 611, 374, 805], 'Confidence': 1}, {'Position': [73, 521, 131, 617], 'Confidence': 1}, {'Position': [109, 637, 196, 802], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'legume' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'legume' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [899, 546, 932, 586], 'Confidence': 1}, {'Position': [653, 587, 677, 621], 'Confidence': 1}, {'Position': [936, 555, 962, 592], 'Confidence': 1}, {'Position': [853, 602, 888, 621], 'Confidence': 1}, {'Position': [686, 652, 710, 693], 'Confidence': 1}, {'Position': [747, 662, 782, 696], 'Confidence': 1}, {'Position': [800, 647, 818, 678], 'Confidence': 1}, {'Position': [668, 543, 688, 574], 'Confidence': 1}, {'Position': [918, 536, 938, 577], 'Confidence': 1}, {'Position': [945, 598, 971, 635], 'Confidence': 1}, {'Position': [818, 631, 862, 680], 'Confidence': 1}, {'Position': [883, 628, 922, 663], 'Confidence': 1}, {'Position': [858, 616, 886, 649], 'Confidence': 1}, {'Position': [935, 531, 956, 555], 'Confidence': 1}, {'Position': [806, 664, 835, 700], 'Confidence': 1}, {'Position': [785, 627, 806, 654], 'Confidence': 1}, {'Position': [863, 648, 889, 681], 'Confidence': 1}, {'Position': [705, 642, 738, 672], 'Confidence': 1}, {'Position': [835, 671, 881, 705], 'Confidence': 1}, {'Position': [938, 503, 956, 524], 'Confidence': 1}, {'Position': [710, 666, 725, 682], 'Confidence': 1}, {'Position': [919, 578, 938, 603], 'Confidence': 1}, {'Position': [950, 513, 977, 540], 'Confidence': 1}, {'Position': [773, 534, 846, 618], 'Confidence': 1}, {'Position': [777, 673, 800, 705], 'Confidence': 1}, {'Position': [688, 621, 715, 653], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'stepladder' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'stepladder' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [170, 519, 224, 665], 'Confidence': 1}]</answer>
	Detect all objects belonging to the category 'omelet' in the image, and provide the bounding boxes (between 0 and 1000, integer) and confidence (between 0 and 1, with two decimal places). If no object belonging to the category 'omelet' in the image, return 'No Objects'. The output format should be as follows: <answer>[{'Position': [x1, y1, x2, y2], 'Confidence': number}, ...]</answer> No additional content in the output.	<answer>[{'Position': [320, 609, 642, 782], 'Confidence': 1}, {'Position': [2, 769, 330, 995], 'Confidence': 1}]</answer>